Intelligent control systems using algorithms of the entropie potential method

Abstract

As part of neural network systems, an artificial neural network can perform various functions like diagnostics of technological equipment, control of moving objects and technological processes, forecasting situations, as well as assessing the state and monitoring of technological processes.

The importance of metrology and measurements in the application of drip irrigation in horticulture

“…According to Table 3, the highlighted values exceed the corresponding average value by more than 5%. Therefore, we can consider them as "gross errors" [9][10][11]. If these values are not taken into account, we find the average values again using formula 1.…”

Formalization of the problems of synthesizing adaptive control systems with reference models

“…But, thanks to the use of searchless optimization methods, the optimization problem is replaced by another, algebraic problem, the solution of which gives the desired relationship between the results of observations and the parameters of the controller settings. In addition, the tuning functional itself is a measure of the parametric mismatch of the main circuit and its reference model, which in some cases allows taking into account the technical requirements for an adaptive control system in a simple way [14][15][16][17][18].…”

Algorithmic Methods for Increasing the Metrological Characteristics of Information-Measuring Systems

“…After the ADC, information signals in digital form are processed by a microprocessor (MP). The results of the measured parameter are transmitted via the interface channel to the control and monitoring systems(CMS) [2]. Such technological solutions usually involve amplifiers (classic, instrumental), capacitors, resistive elements, analog-to-digital converters that have their own noise, and in addition, a power source, which is also an additional source for all elements in the circuit [3].…”

“…and the known amplitude-frequency characteristic or IR of such a digital filter, it is possible to identify the permissible level of error dispersion for input signals2 , which has a direct dependence on the bit depth b of the numbers that are samples of the input signals[10].…”